Simulation Study on Detection and Localization of a Moving Target Under Reverberation in Deep Water by Jincong Dun, Shihong Zhou, Yubo Qi, Changpeng Liu

“…Deep-water reverberation caused by multiple reflections from the seafloor and sea surface can affect the performance of active sonars. To detect a moving target under reverberation conditions, a reverberation suppression method using multipath Doppler shift in deep water and wideband ambiguity function (WAF) is proposed. …”
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Axial-UNet++ Power Line Detection Network Based on Gated Axial Attention Mechanism by Ding Hu, Zihao Zheng, Yafei Liu, Chengkang Liu, Xiaoguo Zhang

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Geosystem Services of Erratic Boulders in Selected Regions of Central Poland by Maria Górska-Zabielska, Anna Łubek

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Enhancing deep learning-based landslide detection from open satellite imagery via multisource data fusion of spectral, textural, and topographical features: a case study of old lan... by Zhiyuan Ren, Junwei Ma, Jiayu Liu, Xin Deng, Guangcheng Zhang, Haixiang Guo

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YOLOGX: an improved forest fire detection algorithm based on YOLOv8 by Caixiong Li, Yue Du, Xing Zhang, Peng Wu

“…To tackle issues, including environmental sensitivity, inadequate fire source recognition, and inefficient feature extraction in existing forest fire detection algorithms, we developed a high-precision algorithm, YOLOGX. …”
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Metal surface defect detection using SLF-YOLO enhanced YOLOv8 model by Yuan Liu, Yilong Liu, Xiaoyan Guo, Xi Ling, Qingyi Geng

“…Abstract This paper addresses the industrial demand for precision and efficiency in metal surface defect detection by proposing SLF-YOLO, a lightweight object detection model designed for resource-constrained environments. …”
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Evaluating Factors Affecting Interior Architectural Space Quality to Enhance Spatial Resilience and Human Productivity: An Application of Maslow’s Hierarchy of Needs by Moharam Ghahremani Drvish, Farhang Mozafar, Ceyed bagher Hoseini, Fateme Mahdizadeye seraj

“…A little reflection on the components of the first group, which have the greatest effect on strengthening resilience and long-term and better quality, leads us to the conclusion that satisfying biological and psychological needs have the leading influence on spatial resilience, and that most of these components are included in the scope of functional requirements.</p> <ol style="text-align: left;" start="5"> <li><strong>5.Discussion</strong></li> </ol> <p style="text-align: left;">According to the summary of the research results, the research problem centers on three basic axes which include the quality of space, spatial resilience and the productivity of human resources. …”
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A Trade‐Off Between Leaf Carbon Economics and Plant Size Among Mangrove Species in Dongzhaigang, China by Dalong Jiang, Tao Nie, Qiuyu He, Jing Yan, Erhui Feng, Qing Ye

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Strategy for Construction and Improvement of 4R Resilience Evaluation Model for Coastal Cities by Qixiang QIN, Weiping ZHANG, Yasen YIN

“…The reasons leading to the aforesaid results are mainly summarized in the following three aspects. 1) Due to dense population and land shortage, city samples with high development intensity pay more attention to spatial redundancy and resource acquisition during disasters, and their urban core functional areas have achieved full coverage of public services and emergency service facilities to a large extent through encrypted road networks, mixed land use, vertical functional layout and other ways. …”
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Measuring the Company’s Capabilities and Assessing their Impact on Its Economic Results: Analytic Tools by E. P. Tretiakova, M. S. Tretiakova

“…Based on this model, methodological guidelines have been developed for measuring the capabilities of organizations and assessing their impact on the final results, a value-functional approach to selecting appropriate indicators, and analytical tools. …”
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Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar by Jingfeng Yu, Aigen Huang, Zhongju Sun, Rui Huang, Gao Huang, Qianchuan Zhao

“…Compared to 2D sonar images, 3D sonar images offer superior spatial positioning capabilities, although the data acquisition cost is higher and lacks open source references for data annotation, target detection, and semantic segmentation. …”
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Varying Activity and the Burst Properties of FRB 20240114A Probed with GMRT Down to 300 MHz by Ajay Kumar, Yogesh Maan, Yash Bhusare

“…All of the bursts we detect are faint (<10 Jy ms) and thus probe the lower end of the energy distribution. …”
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Isolation of globulin-enriched protein extracts from selected bamboo species using enhanced solvent extraction method: A comparative analysis of their physicochemical properties an... by Zile Xiao, Di Tian, Qiongfang Jiang, Jinlai Yang, Huimin Yang, Yue Zhang, Liangru Wu

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IS THE PERFORMANCE MANAGEMENT SYSTEM OF READYMADE GARMENTS FACTORIES EFFECTIVE IN ACHIEVING THE PROJECTED OUTCOME, STRATEGIC ALIGNMENT AND OPERATIONAL EFFICIENCY? A STUDY ON BANGLA... by Kazi NAZMUL HUDA

“…Performance management of employees is a significant function of modern human resource management practices. …”

QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…To address these challenges, we present QPPLab, an open-source MATLAB-based toolbox for detecting, analyzing, and visualizing QPPs from fMRI time series. …”
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Contrasting Daytime Habitat Selection in Wild Red Deer Within and Outside Hunting Ban Areas Emphasises Importance of Small‐Scale Refuges From Humans by Thomas Rempfler, Wibke Peters, Claudio Signer, Flurin Filli, Hannes Jenny, Klaus Hackländer, Sven Buchmann, Pia Anderwald

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Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation by N.S. Davydov, V.V. Evdokimova, P.G. Serafimovich, V.I. Protsenko, A.G. Khramov, A.V. Nikonorov

“…Quality assessment and artifact detection in functional magnetic resonance imaging (fMRI) data is essential for clinical applications and brain research. …”
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Anisotropic Diffusion of e± in Pulsar Halos over Multiple Coherence of Magnetic Fields by Kai Yan, Sha Wu, Ruo-Yu Liu

“…Also, the halo’s morphology may appear less asymmetric, especially after being smoothed by the point-spread function of instruments. This largely relaxes the tension between the asymmetric morphology of halos predicted by the model and the lack of apparent asymmetric halos detected so far. …”
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MTAHG and MTBHG: Modified Approaches for Interpreting Gravity Data by Hazel Deniz Toktay, Hanbing Ai, Ahmad Alvandi, Kejia Su, Jinlei Li

“…This paper proposes two effective edge detection tools: one combining the balanced total horizontal gradient (BHG), and the hyperbolic tangent function, abbreviated as “MTBHG”; and the other combining the tilt angle of the total horizontal gradient (TAHG) and the hyperbolic tangent function, abbreviated as “MTAHG.” …”
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Fine-grained building function recognition with street-view images and GIS map data via geometry-aware semi-supervised learning by Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong, Xiang Zhang, Conghui He, Haohuan Fu

“…In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition, which effectively uses multi-source geoinformation data to achieve accurate function recognition in both single-city and cross-city scenarios. …”
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